Energy, Climate & Environment
SDSC excels in pioneering environmental, sustainable, and renewable energy data science. Our distinguished team drives innovation through cutting-edge projects: climate pattern analysis, energy models, deep learning for biodiversity detection, and improved avalanche forecasting.
Projects
CLIMIS4AVAL
In Progress
Real-time cleansing of snow and weather data for operational avalanche forecasting
Energy, Climate & Environment
AURORA
In Progress
from Air pollUtion souRces tO moRtAlity
Biomedical Data Science
Energy, Climate & Environment
DeepCloud
In Progress
A data-driven sub-grid parametrization for complex terrain
Energy, Climate & Environment
deepLNAfrica
In Progress
Deep statistical learning-based image analysis for measurement of socioeconomic development in sub-Saharan Africa using high-resolution satellite images, and geo-referenced household survey data
Energy, Climate & Environment
N2O-SSA
In Progress
Combining measurements, modeling and machine learning to improve N2O accounting for sustainable agricultural development in sub-Saharan Africa
Energy, Climate & Environment
ArcticNAP
In Progress
Exploring the natural aerosol baseline for improved model predictions of Arctic climate change
Energy, Climate & Environment
EXPECT
In Progress
EXtending the PrEdiCTability of the Atmosphere over Europe
Energy, Climate & Environment
BioDetect
In Progress
Deep Learning for Biodiversity Detection and Classification
Energy, Climate & Environment
SenseDynamics
In Progress
Predicting aerodynamics forces from sensor data
Energy, Climate & Environment
DEAPSnow
In Progress
Improving snow avalanche forecasting by data-driven automated predictions
Energy, Climate & Environment
DATALAKES
Completed
Heterogeneous data platform for operational modelling and forecasting of Swiss lakes
Energy, Climate & Environment
CarboSense4D
Completed
Four-dimensional mapping of carbon dioxide using low-cost sensors, atmospheric transport simulations and machine learning
Big Science Data
Energy, Climate & Environment
COMMIT
Completed
Context-Aware Mobility Mining Tools
Big Science Data
Digital Administration
Energy, Climate & Environment
DASH
In Progress
DAta Science-informed attribution of changes in the Hydrological cycle
Energy, Climate & Environment
SPEEDMIND
In Progress
Improving species biodiversity analyses and citizen science feedback through machine learning
Energy, Climate & Environment
Other domains
Data Science per domain
Our scientists’ expertise is applied daily to a wide variety of domains and applications.
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